Show HN: Rekal – Long-term memory for LLMs in a single SQLite file (github.com)

[dead]

Nice clean project - Python 3.14 as a requirement might be an issue for adoption...

The hybrid search scoring is really well thought out. One question: are the 0.4/0.4/0.2 weights fixed or configurable? To me it feels like different use cases would want different balances (e.g. a coding assistant would want higher recency weights than a research tool would).

All memories should not decay at the same rate. these weights should be configurable !

I’m going to try this out. Curious how effective it’s been for your own use, OP? Anything particularly interesting or where it still falls over and requires tuning that you’ve observed? I find these types of projects interesting in sort of an anthropological sort of way. So far, I’ve yet to try anything that hasn’t still required a great deal of intervention to keep agents using guardrails without scolding them to do so. I guess this might force them more reliably, but I’ll need to try it and find out.

[dead]

[dead]

[flagged]

[dead]